Opportunity Hunter
Finds tenders, RFPs, grants and partner opportunities before competitors do.
CodeDTX AI Operating System
The same agentic workforce we build for clients, applied to ourselves — revenue, marketing, engineering, operations and delivery. Follow the board as each agent goes live.
Agents that help win projects
Finds tenders, RFPs, grants and partner opportunities before competitors do.
Tracks OEMs, Netflix partners and the Android TV ecosystem for alliance plays.
Monitors the OTT market — product launches, funding rounds and CTO movements.
Surfaces CTOs, product heads and engineering managers worth talking to.
Researches every prospect in depth before the first outreach goes out.
Writes personalized LinkedIn and email sequences that sound human.
Generates tailored proposals from reusable, battle-tested templates.
Summarizes calls into action items and follow-ups nobody forgets.
Detects stalled opportunities and recommends the next best action.
CEO view of pipeline, deals in motion and revenue forecasts.
Continuous content, zero manual effort
Drafts CEO thought-leadership posts on a consistent publishing cadence.
Turns completed projects into sales-ready case studies automatically.
Finds missing pages, broken flows and SEO improvements across the site.
Tracks competitor launches, pricing shifts and messaging changes.
Assembles the weekly CodeDTX newsletter from what actually happened.
Gathers, organizes and formats customer testimonials for reuse.
Reviews Figma and Canva assets against brand and usability standards.
Keeps messaging, tone and visuals aligned across every channel.
Writes scripts for shorts, demos and product walkthrough videos.
Measures campaign effectiveness and tells you where to double down.
Saves engineering time every day
Reviews pull requests for quality, style and risky changes.
Watches sprint health, flags blockers and keeps boards honest.
Produces automatic engineering summaries from commits and tickets.
Keeps technical docs current as the codebase evolves.
Detects design issues and drift from agreed architecture.
Tracks library updates and CVEs across every repository.
Writes release notes and runs the deployment checklist.
Identifies testing gaps and suggests the highest-value tests first.
Detects startup, memory and ANR regressions before users do.
Prioritizes refactoring work by real cost, not gut feel.
Reduces operational overhead
Plans resource allocation across projects and upcoming demand.
Checks missing logs and inconsistencies before invoicing.
Tracks team availability, leave balances and holiday calendars.
Keeps revenue, invoices and expenses visible in one place.
Flags renewals and expirations well before deadlines hit.
Tracks licenses, subscriptions and vendor commitments.
Keeps the candidate pipeline moving with screens and shortlists.
Handles scheduling, panels and scorecards end to end.
Organizes company knowledge so answers are findable.
Delivers a daily business summary before the day starts.
Improves execution quality
Detects delivery risk early from velocity, scope and sentiment.
Writes weekly client updates straight from project data.
Spots projects likely to slip before they become escalations.
Analyzes bug trends and quality metrics across releases.
Watches production health and alerts on anomalies.
Extracts themes and priorities from raw customer feedback.
Tracks contract compliance and warns before SLAs breach.
Automates the security checklist on every release.
Captures sprint learnings and turns them into actions.
Executive view of delivery metrics across all projects.
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AI agents deliver precise, efficient task automation, matching human-level performance. They operate continuously, reducing errors and increasing productivity, allowing businesses to scale fast without additional human resource costs.